A single-setup secure aggregation protocol for federated learning that achieves forward and backward secrecy, dynamic user participation, and dropout tolerance using fresh random masks with a cyclic key-negation trick.
Privacy-Preserving Stream Aggregation with Fault Tolerance
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Setup Once, Secure Always: A Single-Setup Secure Federated Learning Aggregation Protocol with Forward and Backward Secrecy for Dynamic Users
A single-setup secure aggregation protocol for federated learning that achieves forward and backward secrecy, dynamic user participation, and dropout tolerance using fresh random masks with a cyclic key-negation trick.